asteroidz

Why are you so confident that nobody will use this in real life? I know OpenAI showed only a few demos, but I can see huge potential.

Twitter user @mr_james_c opined about this:

1984 ad: Monochome, conformist, industrial world exploded by colourful, vibrant human

2024 ad: Colourful, vibrant humanity is crushed by monochrome, conformist industrial press

0.2 or less

I find that questionable. What does "software engineering in a business environment" require that a competent competitive programmer couldn't also learn?

Another worrisome development: https://www.aljazeera.com/economy/2024/3/12/boeing-whistlebl...

Al-Jazeera has really been on fire digging into Boeing. This video (though from 2014) was remarkable: https://www.youtube.com/watch?v=rvkEpstd9os

Certainly a bit disappointing that Lottie or SVG format export doesn't exist. Hopefully a work in progress?

What DO people use for (cross-platform) desktop applications these days? Find it hard to believe Electron is the only one.

This has always been my feeling about the well-known https://www.awwwards.com/

Would be lying though to say I wasn't inspired by some of the sites they showcase.

The important question that matters is: Is the cost close to competitive vs. Bitumen, or is there any hope of reaching that threshold?

I sometimes wonder about PMs who sign off on decisions like these, and the seeming lack of protest the developers put up.

The "Strategies" section looks valuable.

Here are a few more great resources from my notes (including one from Lilian Weng who leads Applied Research at OpenAI):

- https://lilianweng.github.io/posts/2023-03-15-prompt-enginee...

- https://www.promptingguide.ai (check the "Techniques" section for several research-vetted approaches)

- https://learnprompting.org/docs/intro

Personally, in my locale March is usually when the crocuses start peeking out and the robins return... first signs of spring. But just 100 miles east the landscape might still be a winter wonderland well into April.

If I had to hazard a guess, this article was probably written with a British audience in mind, where "spring" loosely corresponds with March through May.

Some studies/analyses are surely laundered opinions. I have a habit these days of checking if the authors have a product to sell or funding to raise. If so, pinch of salt.

Wise decision as far as I'm concerned. Unfettered AI experiments on production systems are an IP and (depending on your field) regulatory nightmare waiting to happen. Unless you have lawyer-vetted guidelines and oversight, use OpenAI products exclusively for experiments and personal projects.

The problem with your suggested approach is the resulting lack of holistic context. The problem of OP's approach (direct parsing) is cost and context-window-limits. There has to be a better way.

The usual caution applies here. The danger of data isn't in the data itself, but in how it's used and interpreted. In this particular case, a relatable comparison would be a book - it's just a bunch of words on a page, but those words can be used to inspire or to manipulate. Pretty important to be mindful of the context and the intent behind the data.

Something important I was thinking of the other day is the power dynamics that come into play with data as the new currency. Those with access to more data (money) and better tools for analysis (investment) of it end up having an unfair advantage.

I'm genuinely curious: What about push notifications (at least on desktop browsers) bothers you that much? I give permission to a few (like Gmail, etc.) and that's that; it makes my life less stressful knowing that I'll get alerted when it's time.

Yep, and that's the difference between a big profitable company doing research as a side-hustle, and a company whose business IS the research.

One interesting and somewhat scary exception seems to be Microsoft; they seem to be converting a lot of their recent research projects into commercial value.

Who needs a never-ending smartphone feed if you can have a never-ending tile pattern to gaze upon!

Lanier, 62, has worked alongside many of the web’s visionaries and power-brokers. He is both insider (he works at Microsoft as an interdisciplinary scientist

And his unique perspective on AI is all the more valuable (and courageous) considering that Microsoft, recently laid off their AI ethics team. It's super important we don't let human considerations fall by the wayside in this rush. The potential of AI is limitless, but so are the potential risks.